A Hybrid Spatial–Temporal Deep Learning Method for Metro Tunnel Displacement Prediction Under “Dual Carbon” Background
The burgeoning urbanization and construction activities pose significant challenges to the structural integrity and safety of the existing metro tunnels. This study introduces a hybrid spatial–temporal deep learning model, integrating graph convolutional network (GCN) and long short-term memory (LST...
Saved in:
| Main Authors: | , , , , |
|---|---|
| 格式: | Article |
| 語言: | 英语 |
| 出版: |
Wiley
2025-01-01
|
| 叢編: | Journal of Advanced Transportation |
| 在線閱讀: | http://dx.doi.org/10.1155/atr/7189559 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|